code: def test_forward(self, model, inputs, use_pf, fp16):
      output = model(**inputs, output_hidden_states=True)
      print("forward:", output.logits_per_image)
      torch.save(
          output.logits_per_image,
          f"output-{'pf' if use_pf else 'non-pf'}-{'fp16' if fp16 else 'fp32'}.pt",
      )
      assert isinstance(output.logits_per_image, torch.Tensor)
  
file_path: parallelformers/tests/clip/clip_model.py
imports: import os
  import unittest
  from argparse import ArgumentParser
  import requests
  import torch
  from PIL import Image
  from transformers import CLIPModel, CLIPProcessor
  from parallelformers import parallelize
label_desc: Use image node_id 1 for calling the TestModel obj's underlying member method code with example usage: obj.test_forward(model, inputs, use_pf, fp16) without return types